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Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI

4.6
stars
4,461 ratings

About the Course

In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality-sensitive hashing to relate words via approximate k-nearest neighbor search. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper....

Top reviews

MN

May 24, 2021

Great Course,

Very few courses where Algorithms like Knn, Logistic Regression, Naives Baye are implemented right from Scratch . and also it gives you thorough understanding of numpy and matplot.lib

SJ

Jul 17, 2020

One of the best introductions to the fundamentals of NLP. It's not just deep learning, fundamentals are really important to know how things evolved over time. Literally the best NLP introduction ever.

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151 - 175 of 878 Reviews for Natural Language Processing with Classification and Vector Spaces

By Aryan S D

Jul 30, 2020

This course was very informative ,got to know about knn's,hash tables perfectly ,also hope the difficulty of the week 4's programming assignment will be slightly reduced

By María I M

Aug 2, 2023

Las explicaciones son muy claras y los ejercicios de programación emocionan mucho. Me gustó muchísimo el curso. Me ilusiona terminar la especialización. Muchas gracias.

By Nikhil K

Jul 10, 2020

Awesome course except that it's assumed that we know a few things beforehand like LSH, PCA in depth given the minimal explanation in the videos. Assignments were great.

By Ahmed M

Nov 20, 2020

special thanks to deeplearning.ai organization for providing such a fruitful course like that with much new techniques for NLP classifications and high-quality videos

By satish b

Oct 24, 2020

This is the best course that will give practical orientation and tests our capability in solving Real world machine learning problems of Natural Language Processing!

By Srishti M

Jun 28, 2020

A good course for beginners or people getting back to the field. The assignments were useful, and could be completed quickly with the integrated jupyter notebooks.

By Taranpreet s

Sep 19, 2020

Great first course for the specialization, Concepts were explained clearly, Assignments and labs are very valuable. Level of Assignments is on the easier side.

By Dinithi S

Jul 25, 2020

Even though I had a basic knowledge of what NLP is and how to implement a basic code, this course provided me an in depth knowledge about how NLP really works.

By Nilesh G

Jul 8, 2020

great resources, great learning, easy to understands concepts and it programmatic implementation use cases make us more familiar to work on practical use cases

By Adarsh W

Mar 23, 2021

Everything about this course is good except programming assignments. Why do we have to implement everything from scratch ? Why not use some python libraries ?

By Sajidur R

Jul 5, 2020

The assignments and workbooks are painstakingly designed to give a complete hands-on experience over the concepts. My NLP intuitions have never been stronger.

By Lis

May 5, 2021

I found the course excellent and very useful to learn NLP in practice. I got a bit confused in the last part of week four, with the hash function and LSH.

By Derwin N

Nov 5, 2020

Very good course for beginner. Good refresher from the Deep Learning Specialisation. I think more time should have been spent on the hash tables sections.

By Ramkumar A

Oct 22, 2023

This is, hands down, the best course I have ever taken regarding the basics of natural language processing. It has an elegant balance of math and theory.

By Rachele F

Oct 29, 2021

I liked this course. Sometimes for me it was a little bit difficult, because I don't have background of computer science. Anyway, The lessons are clear.

By Baurjan S

Jul 25, 2020

As with any course it only makes sense when applied. But it definitely added to my understanding of the wire-framing of the Natural language processing.

By Mihir S

Aug 1, 2020

One of the first courses that I enjoyed throughout and did not have to fast forward. Content, pacing, assignments, and lectures, everything is perfect.

By Devansh D

Jan 7, 2022

really great. learnt a lot of basics. knew how to perform vector based searches using librarires but learnt how the algo is actually conceptualized

By Michel M

Feb 9, 2021

High pace, lots of topics and information. Assumes quite some knowledge and does not leave too much room to get a solid understanding of the subject

By Vipul A

Apr 28, 2022

great course with in depth understanding of nlp concepts , tells you how word embedding works and play very important role in language translation

By S M

Mar 19, 2021

Thank you for creating such an amazing course and making the material so accessible. I have thoroughly enjoyed it and look forward to the next one!

By DEBAM S

Jun 16, 2021

Wonderful way to start NLP. Thank You Coursera for this course. Curriculum for this course is much better than other Platform. Thank you Andrew G.

By Edwin Y

Dec 26, 2020

Great course but a little too easy for someone who took the Deeplearning Specialization. I am sure it will become more challenging as we progress.

By Tania V

Dec 17, 2020

Very good course! The labs and the assignments really help understand the material "from the ground up", by implementing the algorithms in numpy.

By Jesus G

Jul 19, 2020

A very light course, useful introduction to NLP based on vector manipulation. Even good as a refresher for NLP scientists/researchers/engineers.